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PA
Parallel Domain
last mo.

Machine Learning Data Engineer(m/w/x)

Karlsruhe
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Description

As a Machine Learning Data Engineer, you will focus on building and scaling data pipelines, ensuring efficient data flow from raw inputs to structured formats that support the development and evaluation of ML models.

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Requirements

  • Proven experience building scalable data pipelines and tooling
  • Understanding of data usage in model training and evaluation
  • Practical experience with 3D concepts and geometry
  • Strong Python proficiency and comfort with large datasets
  • Experience working closely with ML engineers on data needs
  • MS or PhD in ML, computer vision, robotics, or related field
  • Familiarity with cloud storage and distributed processing frameworks
  • Experience handling camera, lidar, or radar data
  • Familiarity with data visualization systems like Foxglove, Rerun, or Voxel51
  • Experience with dataset versioning, preprocessing automation, or training pipeline orchestration

Education

Master's degree
OR
Doctoral / PhD

Work Experience

approx. 1 - 4 years

Tasks

  • Build reliable data ingestion pipelines
  • Normalize and validate customer and synthetic data
  • Create schemas and validation checks for datasets
  • Establish quality metrics for Replica datasets
  • Implement tools for dataset filtering and versioning
  • Support dataset annotation
  • Generate high-quality data feeds for ML training and evaluation

Tools & Technologies

PythonFoxgloveRerunVoxel51

Languages

EnglishBusiness Fluent

Benefits

Purpose-Driven Work

  • Impactful work

Informal Culture

  • Collaborative culture

Career Advancement

  • Professional growth
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